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Variable selection through CART
This paper deals with variable selection in the regression or binary classification frameworks. It proposes an automatic and exhaustive procedure which relies on the... -
Histogram selection in non gaussian regression
We deal with the problem of choosing an histogram estimator of a regression function $s$ mapping $\mathcalX$ into $\mathbbR$. We adopt the non asymptotic approach of... -
On kernel smoothing for extremal quantile regression
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Auto-Associative Models and Generalized Principal Component Analysis
In this paper, we propose the auto-associative (AA) model to generalize the Principal component analysis (PCA). AA models have been introduced in data analysis from a... -
Multi-camera system for human pose analysis
Human pose analysis from images is a challenging task due to both the complexity of human body (as a result of the high number of degrees of freedom of the body and... -
Boosting feature selection for Neural Network based regression
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The Half-sample Method for Testing Parametric Regressive and Autoregressive M...
The half-sample method has been introduced by Stephens (1978) for testing parametric models of distribution functions. In this paper, we present a similar method for... -
No effect tests in regression on functional variable and some applications to...
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Adaptive Estimation of Convex Sets and Convex Polytopes from Noisy Data
We estimate convex polytopes and general convex sets in $\mathbb R^d,d\geq 2$ in the regression framework. We measure the risk of our estimators using a $L^1$-type... -
La problématique de l'identité sicilienne dans l'œuvre de Consolo
En analysant deux nouvelles de Vincenzo Consolo (Il sorriso del marinaio et Retablo), l'auteur de l'article examine comment les personnages de Consolo s'identifient à... -
Variable selection using Random Forests
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Sharp Oracle Inequalities for Aggregation of Affine Estimators
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A Simplified Life Cycle Approach for Assessing Greenhouse Gas Emissions of Wi...
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F0 Declination in French : Broadcast News versus spontaneous speech.
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A family of regression methods derived from standard PLSR
[Departement_IRSTEA]Ecotechnologies [TR1_IRSTEA]INSPIRE -
Où s'arrête la régression fonctionnelle en biologie ?
Il s'agit ici de confronter l'extrême libéralité du discours biologique ordinaire en matière d'attributions fonctionnelles avec les théories philosophiques de la... -
Propagation of the variability of the human morphology on the Specific Absorp...
In this report, a study of the exposure to electromagnetic waves at the level of population is proposed. This study is conducted in the case of a plane wave oriented... -
A new adaptive response surface method for reliability analysis
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Spatial random forests for brain lesions segmentation in MRIs and model-based...
The large size of the datasets produced by medical imaging protocols contributes to the success of supervised discriminative methods for semantic labelling of images.... -
Regularized output kernel regression for protein-protein interaction predicti...
International audience
